import pandas as pd
fp = "../data/regimed_coffee_prices.csv"
df = pd.read_csv(fp)
df| date | cents_per_lb | regime | |
|---|---|---|---|
| 0 | 1990-01-01 | 75.830 | R-1 |
| 1 | 1990-02-01 | 84.010 | R-1 |
| 2 | 1990-03-01 | 93.960 | R-1 |
| 3 | 1990-04-01 | 93.730 | R-1 |
| 4 | 1990-05-01 | 92.020 | R-1 |
| ... | ... | ... | ... |
| 417 | 2024-10-01 | 276.777 | R-8 |
| 418 | 2024-11-01 | 304.953 | R-8 |
| 419 | 2024-12-01 | 344.119 | R-8 |
| 420 | 2025-01-01 | 353.933 | R-8 |
| 421 | 2025-02-01 | 409.516 | R-8 |
422 rows × 3 columns